J Kanis
Impact in
-
- Bone health and osteoporosis research
- Bone and Joint Diseases
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Spondyloarthritis Studies and Treatments
Papers in
-
- Bone health and osteoporosis research 3
- Anatomy 1
- Medical and Biological Sciences 1
- Co-authors
- Gerard M. Hall (1 shared paper)Eugene Vincent McCloskey (2 shared papers)Tim D. Spector (1 shared paper)David John Torgerson (2 shared papers)Anna S. Howe (1 shared paper)Tarnya Marshall (1 shared paper)T O'Neill (1 shared paper)Lee Shepstone (1 shared paper)
- Journals
- QJM (1 paper)Bone (1 paper)Osteoporosis International (1 paper)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)BMJ (1 paper)
- Partner nations
- United KingdomFranceIndia
In The Last Decade
J Kanis
6 papers receiving 515 citations
Peers
Comparison fields: 5 of 82
- Orthopedics and Sports Medicine 259
- Rheumatology 86
- Pathology and Forensic Medicine 84
- Oncology 69
- Surgery 74
Countries citing papers authored by J Kanis
This map shows the geographic impact of J Kanis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J Kanis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Kanis more than expected).
Fields of papers citing papers by J Kanis
This network shows the impact of papers produced by J Kanis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J Kanis. The network helps show where J Kanis may publish in the future.
Co-authors
The 22 scholars most cited alongside J Kanis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Prevention and management of osteoporosis : report of a WHO scientific group | 2003 | 275 |
| 2 | 1993 | 198 | |
| 3 | 1995 | 65 | |
| 4 | A FRAX model for the estimation of osteoporotic fracture probability in Portugal. | 2014 | 7 |
| 5 | SYSTEMATIC SCREENING USING FRAX LEADS TO INCREASED USE OF, AND ADHERENCE TO, ANTI-OSTEOPOROSIS MEDICATIONS: THE UK SCOOP TRIAL | 2018 | 2 |
| 6 | 1990 | 1 |
About J Kanis
J Kanis is a scholar working on Orthopedics and Sports Medicine, Anatomy, Surgery, Rheumatology and Nutrition and Dietetics, having authored 6 papers that have together received 548 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Healthcare cost, quality, practices (1 paper), Medical and Biological Sciences (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Medical Imaging Techniques and Applications (1 paper) and Hip and Femur Fractures (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (259 citations), Rheumatology (86 citations), Pathology and Forensic Medicine (84 citations), Oncology (69 citations) and Surgery (74 citations). J Kanis has collaborated with scholars based in United Kingdom, France and India. Frequent co-authors include Gerard M. Hall, Eugene Vincent McCloskey, Tim D. Spector, David John Torgerson, Anna S. Howe, Tarnya Marshall, T O'Neill, Lee Shepstone, Ian Harvey and J.E. Aaron. Their work appears in journals such as QJM, Bone, Osteoporosis International, White Rose Research Online (University of Leeds, The University of Sheffield, University of York) and BMJ.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.